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1name: ColdBrew-12B-Nemo-test2
2
3models:
4 - model: SvalTek/ColdBrew-12B-Nemo-test1
5 parameters:
6 weight: 1.0
7 - model: elinas/Chronos-Gold-12B-1.0
8 parameters:
9 weight: 0.3
10
11base_model: SvalTek/ColdBrew-12B-Nemo-test1
12merge_method: task_arithmetic
13chat_template: "chatml"
14tokenizer:
15 source: union # keep everyone’s vocab; union is a documented option
16 tokens:
17 "<|im_start|>":
18 source: "elinas/Chronos-Gold-12B-1.0"
19 force: true
20 "<|im_end|>":
21 source: "elinas/Chronos-Gold-12B-1.0"
22 force: true
23dtype: bfloat16
24normalize: true
25int8_mask: true1!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "SvalTek/ColdBrew-12B-Nemo-test2"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])